meta-llama-llama-3-1-8b-_7331

developer_uid: dtnewman

submission_id: meta-llama-llama-3-1-8b-_7331_v7

model_name: meta-llama-llama-3-1-8b-_7331_v7

model_group: meta-llama/Llama-3.1-8B-

status: torndown

timestamp: 2025-01-27T19:32:44+00:00

num_battles: 9954

num_wins: 4304

celo_rating: 1216.65

family_friendly_score: 0.603

family_friendly_standard_error: 0.006919407489084596

submission_type: basic

model_repo: meta-llama/Llama-3.1-8B-Instruct

model_architecture: LlamaForCausalLM

model_num_parameters: 8030261248.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

display_name: meta-llama-llama-3-1-8b-_7331_v7

ineligible_reason: num_battles<10000

is_internal_developer: False

language_model: meta-llama/Llama-3.1-8B-Instruct

model_size: 8B

ranking_group: single

us_pacific_date: 2025-01-27

win_ratio: 0.43238898935101466

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name meta-llama-llama-3-1-8b-7331-v7-mkmlizer
Waiting for job on meta-llama-llama-3-1-8b-7331-v7-mkmlizer to finish
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║     _____            __           __                                ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║       /___/                                                         ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║  Version: 0.11.12                                                   ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║  https://mk1.ai                                                     ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║  belonging to:                                                      ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║  Chai Research Corp.                                                ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: Downloaded to shared memory in 38.393s
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpogu4m9zs, device:0
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: quantized model in 25.701s
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: Processed model meta-llama/Llama-3.1-8B-Instruct in 64.094s
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: creating bucket guanaco-mkml-models
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v7
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v7/config.json
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v7/special_tokens_map.json
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v7/tokenizer_config.json
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v7/tokenizer.json
meta-llama-llama-3-1-8b-7331-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v7/flywheel_model.0.safetensors
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Job meta-llama-llama-3-1-8b-7331-v7-mkmlizer completed after 94.62s with status: succeeded
Stopping job with name meta-llama-llama-3-1-8b-7331-v7-mkmlizer
Pipeline stage MKMLizer completed in 95.06s
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Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service meta-llama-llama-3-1-8b-7331-v7
Waiting for inference service meta-llama-llama-3-1-8b-7331-v7 to be ready
Inference service meta-llama-llama-3-1-8b-7331-v7 ready after 190.81539511680603s
Pipeline stage MKMLDeployer completed in 191.32s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.6043872833251953s
Received healthy response to inference request in 2.353095054626465s
Received healthy response to inference request in 1.2629821300506592s
Received healthy response to inference request in 1.109699010848999s
Received healthy response to inference request in 1.0321099758148193s
5 requests
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5th percentile: 1.0476277828216554
10th percentile: 1.0631455898284912
20th percentile: 1.094181203842163
30th percentile: 1.140355634689331
40th percentile: 1.201668882369995
50th percentile: 1.2629821300506592
60th percentile: 1.3995441913604736
70th percentile: 1.536106252670288
80th percentile: 1.7541288375854494
90th percentile: 2.053611946105957
95th percentile: 2.2033535003662106
99th percentile: 2.323146743774414
mean time: 1.4724546909332275
Pipeline stage StressChecker completed in 8.67s
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